RQ09519 Technology Architect Senior

Deliverables:

This Senior Technology Architect role requires deep knowledge expertise and experience in cyber security solutions automation and artificial intelligence (AI) in cyber security and security operations (SecOps) technologies services and practices. The resource also requires demonstrated hands-on experience in analyzing configuring implementing and troubleshooting cyber security models and with automation and AI technologies preferably within the K-12 education sector.

The resource will be responsible for designing implementing and operationalizing AI solutions within real-world cyber security environments. This includes but is not limited to:

• Developing AI agents and large language model (LLM)-based assistants for SecOps including:
  
• Automating detection and response workflows to improve incident triage investigation and response efficiency and
  
• Supporting AI adoption through training and enablement.
  
• Providing subject matter expertise in security operations centre (SOC) technologies services and tools including but not limited to:
  
• Security Information and Event Management (SIEM) and
  
• Security Orchestration Automation and Response (SOAR).
  
• Delivering solution and architecture guidance training and implementation support for AI and machine learning (ML)-driven network and security technologies.
  
• Delivering training and operational guidance to board IT and security teams on threat response workflows and defensive posture validation.
  
• Providing subject matter expertise in the development and delivery of technical training courses to support boards cyber resilience efforts.
  
• Presenting to senior and executive management and external senior stakeholders as needed.
  
• Providing regular status updates and project reports on assigned deliverables.
  
• Taking a collaborative approach to solution definition development and implementation with multiple stakeholder groups with differing needs and expectations.
  
• Aligning with industry and legislative advancements at the federal provincial/local level (e.g. Enhancing Digital Security and Trust Act 2024 (EDSTA)).
  
• Delivering on other duties as assigned.
  

• This work involves working in close partnership with various government departments the K-12 education sector telecommunications providers and network and cyber security technology vendors to develop tailored approaches and implementation plans. To support various stakeholders the resource must be available to at the client site as required. Therefore the resource must be available to travel same day or overnight in Ontario as needed.
  
• The unit manager may assign other related board work for other unit or branch initiatives as required.
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• 3 years of experience designing developing and deploying AI-powered solutions and automation workflows.
  
• Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures vector databases and prompt engineering.
  
• Expert proficiency in Python for AI/ML workflows automation and data frameworks.
  
• Experience with AI/ML frameworks (e.g. PyTorch TensorFlow scikit-learn) and
  
• Experience building or integration APIs and services (e.g. FastAPI Flask REST).
  
• Experience with the AI development lifecycle.
  
• 3 years of experience in cyber security solutions and next-generation network security with a focus on hands-on implementation configuration and troubleshooting.
  
• Bachelors degree in computer science engineering cyber security or a related field.
  

Nice To Have:

• Hands-on experience building LLM-based assistants and agents that support SecOps
  

• Hands-on experience with SOAR playbook design bi-directional integrations and AI operations (AIOps)-driven incident response.
  
• Familiarity with cloud platforms and cloud security architecture (e.g. Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP))
  
• Experience maintaining security content (e.g. dashboards playbooks) across shared platforms.
  

Skill Set Requirements:

AI Automation and Autonomous Security:

• 3 years of experience designing developing and deploying AI-powered solutions and automation workflows.
  
• Hands-on experience building LLM-based assistants and agents that support SecOps.
  
• Hands-on experience implementing Retrieval-Augmented Generation (RAG) architectures vector databases and prompt engineering.
  
• Expert proficiency in Python for AI/ML workflows automation and data frameworks.
  
• Experience with AI/ML frameworks (e.g. PyTorch TensorFlow scikit-learn) and
  
• Experience building or integration APIs and services (e.g. FastAPI Flask REST).
  
• Experience with the AI development lifecycle.
  
• Understanding of AI governance explainability and ethical deployment of autonomous systems.
  

Cyber Security Architecture and Security Operations:

• 3 years of experience in cyber security solutions and next-generation network security with a focus on hands-on implementation configuration and troubleshooting.
  
• Hands-on experience with SOAR playbook design bi-directional integrations and AI operations (AIOps)-driven incident response.
  
• Proficiency in applying data science and ML to cyber security telemetry including anomaly detection scoring algorithms and observability dashboards.
  
• Experience with security telemetry and logs (e.g. alerts events incidents).
  
• Experience with frameworks such as MITRE ATT&CK and NIST Cybersecurity Framework (CSF) v2.
  
• Familiarity with cloud platforms and cloud security architecture (e.g. Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP)).
  

Communications and Stakeholder Engagement:

• 3 years of experience presenting to senior and executive management and stakeholders.
  
• 3 years of experience coordinating and leading complex technical work with multiple IT teams and stakeholders.
  
• 3 years of experience preparing written materials (e.g. status reports recommendations).
  
• Experience maintaining security content (e.g. dashboards playbooks) across shared platforms.
  
• Experience delivering cyber security upskilling training to IT and security teams.
  

Relevant Degrees / Industry Certifications:;

• Bachelors degree in computer science engineering cyber security or a related field.
  
• Postgraduate education in AI data science or cyber security is an asset.
  
• Relevant AI or cyber security certifications are beneficial but not mandatory.